Course: "Experimental evolution: bringing theory and practice together”
Schedule and venue: December 2-6, 2019
Sunday: suggested arrival
Saturday: suggested departure
Detailed schedule tba
Venue for the practical sessions will be in the computer room of the Institute of Population Genetics (Vetmeduni Vienna), accessible at the 4th floor of campus building HA. Venue for the talks will be announced.
Call for participants: applications are open until the end of September 2019.
If you wish to attend the lectures, only, please sign up by emailing to popgen.vienna (at) gmail.com as space is limited!
The Vienna Graduate School of Population Genetics is now accepting applications for the course "Experimental evolution: bringing theory and practice together” at the University of Veterinary Medicine in Vienna, December 2-6, 2019.
Experimental evolution is extensively used to address questions of evolutionary biology by exposing evolving populations to different environmental conditions. It offers the opportunity to replicate experiments and test for convergent outcomes. With the recent drop in DNA sequencing cost and the advance of sequencing technologies, the combination of experimental evolution with next generation sequencing of pools of individuals (Evolve & Resequence) has become a state-of-the-art method to link phenotypic responses to genetic changes. Although the availability of replicated time series data is one key advantage of E&R, the analysis of such data sets is still in its infancy. This course will introduce the participants to several new approaches for the analysis of genomic time series data covering the latest software tools as well as required statistical and computational skills.
The course is targeted towards researchers interested in experimental evolution combined with NGS and will cover the design of experimental evolution studies as well as the analysis of Pool-Seq time series data.
The course aims to introduce participants to:
State-of-the-art software packages
Modeling of neutral data
Identifying selected regions
Comparison of n-point analysis with time series data
Haplotypes reconstruction from time-series data
Inferring linkage structure of Pool-Seq data
Estimating selection coefficients
Calling transposable elements in time series data
Inferring selection in transcriptomics data
Morning lectures by internationally renowned faculty will be followed by computer practicals on the analysis of experimental evolution data in the afternoon.
Anthony Long (California Irvine Univ., US)
Christian Schlötterer (Vetmeduni Vienna, A)
Henrique Teotónio (IBENS, FR)
Molly Burke (Oregon State Univ., US)
Neda Barghi (Vetmeduni Vienna, A)
Robert Kofler (Vetmeduni Vienna, A)
Susan Bailey (Clarkson Univ., US)
The course is free but will be restricted for the practical sessions (hands on computer lab). Additional seats will be available for attending the lectures, only. Students and researchers are invited to apply by submitting a single .pdf file containing 1) a short CV, 2) a motivation letter and a statement of computer skills to popgen.vienna (at) gmail.com by September 30, 2019. Confidence in working with Unix command line as well as in R, is strongly recommended for the practicals.
Participants are expected to arrange their own accommodation.